Nitish Ghosal's repositories
Predicting-Employee-Attrition
Using machine learning to predict employee turnover in Python
Gender-Recognition-by-Voice
Gender Recognition by Voice and Speech Analysis by Implementing Classification Algorithms in Python
data-science-from-scratch
code for Data Science From Scratch book
data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
data-science-question-answer
A repo for data science related questions and answers
Food-Security-Indicators
Exploratory data analysis on food security indicators data provided by FAO
handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
scikit-learn-videos
Jupyter notebooks from the scikit-learn video series
Credit-Card-Fraud-Detection
Detecting credit card fraud using an approach with imbalanced classification and model ensembling
Measuring-Campaign-Effectiveness
Using machine learning to predict which customers are more likely to respond to bank’s marketing campaigns?
Predicitng-Medical-Appointment-No-Shows
Will patients show up to their medical appointments? An introduction to parameter tuning with sci-kit learn in Python
awesome-machine-learning-interpretability
A curated list of awesome machine learning interpretability resources.
awesome-public-datasets
A topic-centric list of high-quality open datasets in public domains. By everyone, for everyone!
IMDB-Data-Analysis
Exploratory data analysis, k-means clustering with decision tree on IMDb data
jupyter
Jupyter metapackage for installation, docs and chat
MadeWithML
Learn how to responsibly deliver value with ML.
ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from data mining to deep learning.
Olympics-EDA
Exploratory data analysis of Summer Olympics
pandas-cookbook
Recipes for using Python's pandas library
pattern_classification
A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks
production-data-science
Workflow for collaborative data science aimed at production
pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
python-machine-learning-book-2nd-edition
The "Python Machine Learning (2nd edition)" book code repository and info resource
stat479-deep-learning-ss19
Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison
stat479-machine-learning-fs18
Course material for STAT 479: Machine Learning (FS 2018) at University Wisconsin-Madison
text_classification
all kinds of text classificaiton models and more with deep learning
useR-machine-learning-tutorial
useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html